ParthNakum21's picture
Upload 8 files
d9102dc
metadata
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
datasets:
  - opus100
metrics:
  - bleu
model-index:
  - name: GenzTranscribe-en-gu
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: opus100
          type: opus100
          config: en-gu
          split: train
          args: en-gu
        metrics:
          - name: Bleu
            type: bleu
            value: 59.9227

GenzTranscribe-en-gu

This model is a fine-tuned version of t5-small on the opus100 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3075
  • Bleu: 59.9227
  • Gen Len: 9.6443

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.3593 1.0 31831 0.3253 58.1921 9.7108
0.3421 2.0 63662 0.3075 59.9227 9.6443

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.1
  • Tokenizers 0.13.3